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Record W2139958433 · doi:10.1109/iros.1995.525873

The virtual handle [force-reflecting mechanisms]

2002· article· en· W2139958433 on OpenAlexaff
R. Hui, P. Gregorio

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsHaptic technologyDegrees of freedom (physics and chemistry)Computer scienceMechanism (biology)Operator (biology)Virtual realitySimulationControl theory (sociology)Control (management)Artificial intelligence

Abstract

fetched live from OpenAlex

Many force-reflecting mechanisms with two to six degrees of freedom have been designed in the past for master-slave and haptic applications. Both serial and parallel mechanisms increase in mechanical, modeling and control complexity at a greater-than-linear rate with additional degrees of freedom. On the other hand, using two or three reduced-dof mechanisms only multiplies the complexity of each individual system by the number of mechanisms. The concept of the virtual handle is based on using two or three mechanisms each with three or four dofs, with a digit of the operator's hand operating one each. The mechanisms can be controlled in such a way that the operator feels as if a virtual device with a greater motion freedom than each individual mechanism is being grasped. The virtual handle can be made to emulate the operator's tool of choice, including a gripper, with the necessary number of virtual pushbuttons.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.219
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2002
Admission routes1
Has abstractyes

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